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        <li class="chapter " data-level="1.1" data-path="../">
            
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                    MLSQL Stack
            
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        <li class="header">产品信息</li>
        
        
    
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                    MLSQL官方博客
            
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                    MLSQL Stack体验站点
            
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                    所有版本
            
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                    MLSQL Stack版本管理策略
            
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                    MLSQL Stack 2.0.1版发布
            
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                    MLSQL Stack 2.0.0版发布
            
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                    MLSQL Stack 2.0.1 Bug 合集
            
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                    MLSQL Stack 2.0.0 Bug 合集
            
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                    基本安装
            
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                    MLSQL Console 安装
            
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                    MLSQL Console 初始配置
            
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                    MLSQL Engine 安装与配置
            
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                    启动参数详解
            
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                    Local
            
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                    K8s部署
            
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                    Yarn部署
            
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        <li class="header">操作指南</li>
        
        
    
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                    Analysis Workshop使用
            
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                    软件界面介绍
            
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                    Admin管理后台之Engine配置
            
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                    简单使用示例
            
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                    透视表
            
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                    可视化
            
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        <li class="chapter " data-level="4.1.6" data-path="../analysis-workshop/window.html">
            
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                    使用窗口进行数据分析
            
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        <li class="chapter " data-level="4.1.7" data-path="../analysis-workshop/complex-filter.html">
            
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                    复杂组合条件过滤
            
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        <li class="chapter " data-level="4.1.8" data-path="../analysis-workshop/ds-mysql.html">
            
                <a href="../analysis-workshop/ds-mysql.html">
            
                    
                    MySQL数据库配置
            
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        <li class="chapter " data-level="4.1.9" data-path="../analysis-workshop/json-fields.html">
            
                <a href="../analysis-workshop/json-fields.html">
            
                    
                    Json字段展开
            
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        <li class="chapter " data-level="4.1.10" data-path="../analysis-workshop/aw-plugin.html">
            
                <a href="../analysis-workshop/aw-plugin.html">
            
                    
                    用MLSQL为Analysis Workshop开发插件
            
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        <li class="chapter " data-level="4.2" data-path="../console/">
            
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                    MLSQL语言控制台使用
            
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        <li class="chapter " data-level="4.2.1" data-path="../console/interface.html">
            
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                    界面简介
            
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        <li class="chapter " data-level="4.2.2" data-path="../console/simple-example.html">
            
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                    简单使用示例
            
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        <li class="header">MLSQL语法以及编程教程</li>
        
        
    
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                    MLSQL语法手册
            
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                    Set语法
            
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        <li class="chapter active" data-level="5.1.2" data-path="load.html">
            
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                    Load语法
            
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        <li class="chapter " data-level="5.1.3" data-path="select.html">
            
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                    Select语法
            
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        <li class="chapter " data-level="5.1.4" data-path="et_statement.html">
            
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                    Train/Run/Predict语法
            
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        <li class="chapter " data-level="5.1.5" data-path="register.html">
            
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                    Register语法
            
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                    Save语法
            
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        <li class="chapter " data-level="5.1.7" data-path="macro.html">
            
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                    宏语法
            
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        <li class="chapter " data-level="5.1.8" data-path="include.html">
            
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                    Include语法
            
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        <li class="chapter " data-level="5.1.9" >
            
                <a target="_blank" href="http://blog.mlsql.tech/blog/mlsql-ifelse.html">
            
                    
                    分支语句
            
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        <li class="chapter " data-level="5.1.10" data-path="analyze.html">
            
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                    MLSQL语法解析接口
            
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        <li class="chapter " data-level="5.2" data-path="../batch/">
            
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                    MLSQL批处理编程
            
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        <li class="chapter " data-level="5.2.1" data-path="../datahouse/">
            
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                    MLSQL数仓/数据湖使用
            
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                <a href="../datahouse/hive.html">
            
                    
                    Hive加载和存储
            
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        <li class="chapter " data-level="5.2.1.2" data-path="../datahouse/delta.html">
            
                <a href="../datahouse/delta.html">
            
                    
                    Delta加载和存储以及流式支持
            
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        <li class="chapter " data-level="5.2.1.3" data-path="../datahouse/binlog.html">
            
                <a href="../datahouse/binlog.html">
            
                    
                    MySQL Binlog同步
            
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        <li class="chapter " data-level="5.2.2" data-path="../datasource/">
            
                <a href="../datasource/">
            
                    
                    加载和存储多种数据源
            
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        <li class="chapter " data-level="5.2.2.1" data-path="../datasource/jdbc.html">
            
                <a href="../datasource/jdbc.html">
            
                    
                    JDBC
            
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        <li class="chapter " data-level="5.2.2.2" data-path="../datasource/es.html">
            
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                    ElasticSearch
            
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        <li class="chapter " data-level="5.2.2.3" data-path="../datasource/solr.html">
            
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                    Solr
            
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        <li class="chapter " data-level="5.2.2.4" data-path="../datasource/hbase.html">
            
                <a href="../datasource/hbase.html">
            
                    
                    HBase
            
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        <li class="chapter " data-level="5.2.2.5" data-path="../datasource/mongodb.html">
            
                <a href="../datasource/mongodb.html">
            
                    
                    MongoDB
            
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        <li class="chapter " data-level="5.2.2.6" data-path="../datasource/file.html">
            
                <a href="../datasource/file.html">
            
                    
                    Parquet/Json/Text/Xml/Csv
            
                </a>
            

            
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        <li class="chapter " data-level="5.2.2.7" data-path="../datasource/mlsql_source.html">
            
                <a href="../datasource/mlsql_source.html">
            
                    
                    jsonStr/script/mlsqlAPI/mlsqlConf
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="5.2.3" data-path="../system_udf/">
            
                <a href="../system_udf/">
            
                    
                    内置常见UDF
            
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        <li class="chapter " data-level="5.2.3.1" data-path="../system_udf/http.html">
            
                <a href="../system_udf/http.html">
            
                    
                    http请求
            
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        <li class="chapter " data-level="5.2.3.2" data-path="../system_udf/vec.html">
            
                <a href="../system_udf/vec.html">
            
                    
                    常见函数
            
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        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="5.2.4" data-path="../process/">
            
                <a href="../process/">
            
                    
                    一些有用的内置ET
            
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        <li class="chapter " data-level="5.2.4.1" data-path="../process/estimator_transformer/TreeBuildExt.html">
            
                <a href="../process/estimator_transformer/TreeBuildExt.html">
            
                    
                    计算复杂的父子关系
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.2.4.2" data-path="../process/estimator_transformer/RepartitionExt.html">
            
                <a href="../process/estimator_transformer/RepartitionExt.html">
            
                    
                    改变表的分区数
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.2.4.3" data-path="../process/estimator_transformer/SendMessage.html">
            
                <a href="../process/estimator_transformer/SendMessage.html">
            
                    
                    如何发送邮件
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.2.4.4" data-path="../process/estimator_transformer/mlsql-watcher.html">
            
                <a href="../process/estimator_transformer/mlsql-watcher.html">
            
                    
                    数据采集组件mlsql-watcher使用
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="5.3" data-path="../stream/">
            
                <a href="../stream/">
            
                    
                    MLSQL流编程
            
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        <li class="chapter " data-level="5.3.1" data-path="../stream/datasource.html">
            
                <a href="../stream/datasource.html">
            
                    
                    Kafka和MockStream
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.3.2" data-path="../stream/kakfa_tool.html">
            
                <a href="../stream/kakfa_tool.html">
            
                    
                    MLSQL Kafka小工具集锦
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.3.3" data-path="../stream/data_convert.html">
            
                <a href="../stream/data_convert.html">
            
                    
                    自动将Kafka中的JSON数据展开为表
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.3.4" data-path="../stream/query_kafka.html">
            
                <a href="../stream/query_kafka.html">
            
                    
                    如何高效的AdHoc查询Kafka
            
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        </li>
    
        <li class="chapter " data-level="5.3.5" data-path="../stream/callback.html">
            
                <a href="../stream/callback.html">
            
                    
                    如何设置流式计算回调
            
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        </li>
    
        <li class="chapter " data-level="5.3.6" data-path="../stream/batch.html">
            
                <a href="../stream/batch.html">
            
                    
                    如何对流的结果以批的形式保存
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.3.7" data-path="../stream/window_wartermark.html">
            
                <a href="../stream/window_wartermark.html">
            
                    
                    window/watermark的使用
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.3.8" data-path="../stream/stream_mysql_update.html">
            
                <a href="../stream/stream_mysql_update.html">
            
                    
                    如何使用MLSQL流式更新MySQL数据
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.3.9" data-path="../stream/web_console.html">
            
                <a href="../stream/web_console.html">
            
                    
                    流结果输出到WebConsole
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="5.4" data-path="../ml/">
            
                <a href="../ml/">
            
                    
                    MLSQL机器学习编程
            
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        <li class="chapter " data-level="5.4.1" data-path="../feature/">
            
                <a href="../feature/">
            
                    
                    特征工程
            
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        <li class="chapter " data-level="5.4.1.1" data-path="../feature/nlp.html">
            
                <a href="../feature/nlp.html">
            
                    
                    文本向量化
            
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            <ul class="articles">
                
    
        <li class="chapter " data-level="5.4.1.1.1" data-path="../feature/tfidf.html">
            
                <a href="../feature/tfidf.html">
            
                    
                    TFIDF
            
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        <li class="chapter " data-level="5.4.1.1.2" data-path="../feature/word2vec.html">
            
                <a href="../feature/word2vec.html">
            
                    
                    Word2Vec
            
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            </ul>
            
        </li>
    
        <li class="chapter " data-level="5.4.1.2" data-path="../feature/scale.html">
            
                <a href="../feature/scale.html">
            
                    
                    特征平滑
            
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        <li class="chapter " data-level="5.4.1.3" data-path="../feature/normalize.html">
            
                <a href="../feature/normalize.html">
            
                    
                    归一化
            
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        </li>
    
        <li class="chapter " data-level="5.4.1.4" data-path="../feature/confusion_matrix.html">
            
                <a href="../feature/confusion_matrix.html">
            
                    
                    混淆矩阵
            
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        </li>
    
        <li class="chapter " data-level="5.4.1.5" data-path="../feature/some_extract.html">
            
                <a href="../feature/some_extract.html">
            
                    
                    QQ/电话/邮件抽取
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="5.4.1.6" data-path="../feature/discretizer/">
            
                <a href="../feature/discretizer/">
            
                    
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                    Bucketizer
            
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                    Quantile
            
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                    Map转化为向量
            
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                    数据集切分
            
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                    MLSQL Python支持
            
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                    数据处理
            
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                    结合Python读取Excel
            
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                    结合Python保存Excel
            
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                    dataMode 详解
            
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                    LDA
            
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                    XGBoost
            
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<pre><code class="lang-sql"><span class="hljs-keyword">set</span> abc=<span class="hljs-string">&apos;&apos;&apos;
{ &quot;x&quot;: 100, &quot;y&quot;: 200, &quot;z&quot;: 200 ,&quot;dataType&quot;:&quot;A group&quot;}
{ &quot;x&quot;: 120, &quot;y&quot;: 100, &quot;z&quot;: 260 ,&quot;dataType&quot;:&quot;B group&quot;}
&apos;&apos;&apos;</span>;
<span class="hljs-keyword">load</span> jsonStr.<span class="hljs-string">`abc`</span> <span class="hljs-keyword">as</span> table1;
</code></pre>
<p>&#x8FD9;&#x91CC;&#xFF0C;&#x6211;&#x4EEC;&#x901A;&#x8FC7;&#x524D;&#x9762;&#x5B66;&#x4E60;&#x7684;set&#x8BED;&#x6CD5;&#xFF0C;&#x8BBE;&#x7F6E;&#x4E86;&#x4E00;&#x4E2A;&#x53D8;&#x91CF;&#xFF0C;&#x8BE5;&#x53D8;&#x91CF;&#x662F;abc, &#x7136;&#x540E;&#xFF0C;&#x6211;&#x4EEC;&#x4F7F;&#x7528;load&#x8BED;&#x53E5;&#x5C06;&#x8FD9;&#x6BB5;&#x6587;&#x672C;&#x6CE8;&#x518C;&#x6210;&#x4E00;&#x5F20;&#x89C6;&#x56FE;&#xFF08;&#x8868;&#xFF09;&#x3002;&#x8FD0;&#x884C;
&#x7ED3;&#x679C;&#x5982;&#x4E0B;&#xFF1A;</p>
<pre><code>dataType  x         y   z

A         group    100    200    200
B         group    120    100    260
</code></pre><p>&#x6211;&#x4EEC;&#x8FC7;&#x6765;&#x770B;&#x4E0B;load&#x8BED;&#x6CD5;&#x3002;&#x7B2C;&#x4E00;&#x4E2A;&#x5173;&#x952E;&#x8BCD;&#x662F;load,&#x7D27;&#x63A5;&#x7740;&#x63A5;&#x4E00;&#x4E2A;&#x6570;&#x636E;&#x6E90;&#x6216;&#x8005;&#x683C;&#x5F0F;&#x540D;&#x79F0;&#xFF0C;&#x6BD4;&#x5982;&#x4E0A;&#x9762;&#x7684;&#x4F8B;&#x5B50;&#x662F;<code>jsonStr</code>&#x3002;&#x8FD9;&#x8868;&#x793A;&#x6211;&#x4EEC;&#x8981;&#x52A0;&#x8F7D;&#x4E00;&#x4E2A;json&#x7684;&#x5B57;&#x7B26;&#x4E32;&#xFF0C;
&#x5728;&#x540E;&#x9762;&#xFF0C;&#x6211;&#x4EEC;&#x4F1A;&#x63A5;.<code>abc</code>.&#x901A;&#x5E38;<code>`&#x5185;&#x662F;&#x4E2A;&#x8DEF;&#x5F84;&#x3002;&#x6BD4;&#x5982; csv.</code>/tmp/csvfile<code>&#xFF0C;&#x5230;&#x8FD9;&#x4E00;&#x6B65;&#xFF0C;MLSQL&#x5DF2;&#x7ECF;&#x77E5;&#x9053;&#x5982;&#x4F55;&#x52A0;&#x8F7D;&#x6570;&#x636E;&#x4E86;&#xFF0C;&#x6211;&#x4EEC;&#x6700;&#x540E;&#x4F7F;&#x7528;</code>as table1`,&#x8868;&#x793A;&#x5C06;&#x6570;&#x636E;
&#x6CE8;&#x518C;&#x6210;&#x89C6;&#x56FE;&#xFF08;&#x8868;&#xFF09;&#xFF0C;&#x6CE8;&#x518C;&#x7684;&#x4E1C;&#x897F;&#x540E;&#x9762;&#x53EF;&#x4EE5;&#x5F15;&#x7528;&#x3002; &#x6BD4;&#x5982;&#x5728;&#x540E;&#x7EED;&#x7684;select&#x8BED;&#x53E5;&#x6211;&#x4EEC;&#x53EF;&#x4EE5;&#x76F4;&#x63A5;&#x4F7F;&#x7528;table1&#xFF1A;</p>
<pre><code class="lang-sql"><span class="hljs-keyword">set</span> abc=<span class="hljs-string">&apos;&apos;&apos;
{ &quot;x&quot;: 100, &quot;y&quot;: 200, &quot;z&quot;: 200 ,&quot;dataType&quot;:&quot;A group&quot;}
{ &quot;x&quot;: 120, &quot;y&quot;: 100, &quot;z&quot;: 260 ,&quot;dataType&quot;:&quot;B group&quot;}
&apos;&apos;&apos;</span>;
<span class="hljs-keyword">load</span> jsonStr.<span class="hljs-string">`abc`</span> <span class="hljs-keyword">as</span> table1;
<span class="hljs-keyword">select</span> * <span class="hljs-keyword">from</span> table1 <span class="hljs-keyword">as</span> <span class="hljs-keyword">output</span>;
</code></pre>
<p>&#x6211;&#x4EEC;&#x53EF;&#x4EE5;&#x83B7;&#x5F97;&#x548C;&#x4E0A;&#x9762;&#x4F8B;&#x5B50;&#x4E00;&#x6837;&#x7684;&#x8F93;&#x51FA;&#x3002; load&#x8BED;&#x53E5;&#x8FD8;&#x53EF;&#x4EE5;&#x63A5;&#x4E00;&#x4E9B;&#x53C2;&#x6570;&#xFF0C;&#x6BD4;&#x5982;</p>
<pre><code class="lang-sql"><span class="hljs-keyword">load</span> jdbc.<span class="hljs-string">`db.table`</span>  <span class="hljs-keyword">where</span> <span class="hljs-keyword">url</span>=<span class="hljs-string">&quot;jdbc:postgresql://localhost/test?user=fred&amp;password=secret&quot;</span> 
<span class="hljs-keyword">as</span> newtable;
</code></pre>
<p>&#x8FD9;&#x91CC;&#xFF0C;&#x6211;&#x4EEC;&#x901A;&#x8FC7;where&#x6761;&#x4EF6;&#x91CC;&#x7684;url&#x53C2;&#x6570;&#x544A;&#x8BC9;jdbc&#x683C;&#x5F0F;&#xFF0C;&#x6211;&#x4EEC;&#x8981;&#x8FDE;&#x63A5;&#x7684;&#x6570;&#x636E;&#x5E93;&#x5730;&#x5740;&#xFF0C;&#x5E76;&#x4E14;&#x6211;&#x4EEC;&#x9700;&#x8981;&#x8BBF;&#x95EE;&#x7684;&#x8DEF;&#x5F84;&#x662F;db&#x6570;&#x636E;&#x5E93;&#x91CC;&#x7684;table&#x8868;&#x3002;&#x6700;&#x540E;&#xFF0C;&#x6211;&#x4EEC;&#x5C06;&#x5BF9;&#x5E94;&#x7684;&#x6570;&#x636E;&#x5E93;&#x8868;&#x6CE8;&#x518C;&#x6210;
&#x89C6;&#x56FE;(&#x8868;)newtable&#x3002;</p>
<p>&#x6709;&#x7684;&#x65F6;&#x5019;&#xFF0C;&#x6211;&#x4EEC;&#x9700;&#x8981;&#x591A;&#x6B21;&#x4E66;&#x5199;load&#x8BED;&#x53E5;&#xFF0C;&#x6BD4;&#x5982;&#x6211;&#x4EEC;&#x9700;&#x8981;load&#x591A;&#x5F20;mysql&#x8868;&#xFF0C;&#x90A3;&#x4E48;&#x6BCF;&#x6B21;&#x90FD;&#x586B;&#x5199;&#x8FD9;&#x4E9B;&#x53C2;&#x6570;&#x4F1A;&#x53D8;&#x6210;&#x4E00;&#x4EF6;&#x8BA9;&#x4EBA;&#x538C;&#x70E6;&#x7684;&#x4E8B;&#x60C5;&#x3002;</p>
<pre><code class="lang-sql"><span class="hljs-keyword">load</span> jdbc.<span class="hljs-string">`db.table`</span> options
<span class="hljs-keyword">and</span> driver=<span class="hljs-string">&quot;com.mysql.jdbc.Driver&quot;</span>
<span class="hljs-keyword">and</span> <span class="hljs-keyword">url</span>=<span class="hljs-string">&quot;jdbc:mysql://127.0.0.1:3306/....&quot;</span>
<span class="hljs-keyword">and</span> <span class="hljs-keyword">user</span>=<span class="hljs-string">&quot;...&quot;</span>
<span class="hljs-keyword">and</span> <span class="hljs-keyword">password</span>=<span class="hljs-string">&quot;....&quot;</span>
<span class="hljs-keyword">and</span> prePtnArray = <span class="hljs-string">&quot;age&lt;=10 | age &gt; 10&quot;</span>
<span class="hljs-keyword">and</span> prePtnDelimiter = <span class="hljs-string">&quot;\|&quot;</span>
<span class="hljs-keyword">as</span> table1;
</code></pre>
<p>&#x6BD4;&#x5982;&#x4E0A;&#x9762;&#x7684;&#x914D;&#x7F6E;&#x5C31;&#x5F88;&#x591A;&#x4E86;&#x3002;&#x4E3A;&#x4E86;&#x51CF;&#x5C11;&#x4E66;&#x5199;&#xFF0C;&#x6211;&#x4EEC;&#x5F15;&#x5165;&#x4E00;&#x4E2A;&#x7279;&#x6B8A;&#x7684;&#x914D;&#x5408;load&#x7684;&#x8BED;&#x6CD5;&#xFF0C;&#x53EB;connect&#xFF1A;</p>
<pre><code class="lang-sql"> connect jdbc where
 url=&quot;jdbc:mysql://127.0.0.1:3306/wow?characterEncoding=utf8&amp;zeroDateTimeBehavior=convertToNull&amp;tinyInt1isBit=false&quot;
 and driver=&quot;com.mysql.jdbc.Driver&quot;
 and user=&quot;${user}&quot;
 and password=&quot;${password}&quot;
 as db_1;
</code></pre>
<p>connect &#x540E;&#x9762;&#x63A5;&#x6570;&#x636E;&#x683C;&#x5F0F;&#xFF0C;&#x8FD9;&#x91CC;&#x662F;jdbc, &#x7136;&#x540E;&#x540E;&#x9762;&#x63A5;&#x4E00;&#x4E9B;&#x914D;&#x7F6E;&#x3002;&#x6700;&#x540E;&#x5C06;&#x8FD9;&#x4E2A;&#x8FDE;&#x63A5;&#x53D6;&#x4E00;&#x4E2A;&#x540D;&#x5B57;&#xFF0C;&#x53EB;&#x505A;db_1. &#x73B0;&#x5728;&#x6211;&#x4EEC;&#x53EF;&#x4EE5;&#x8FD9;&#x6837;&#x5199;load&#x8BED;&#x53E5;&#x4E86;&#xFF1A;</p>
<pre><code class="lang-sql"><span class="hljs-keyword">load</span> jdbc.<span class="hljs-string">`db_1.test1`</span> <span class="hljs-keyword">where</span> directQuery=<span class="hljs-string">&apos;&apos;&apos;
select * from test1 where a = &quot;b&quot;
&apos;&apos;&apos;</span> <span class="hljs-keyword">as</span> newtable;

<span class="hljs-keyword">select</span> * <span class="hljs-keyword">from</span> newtable;
</code></pre>
<p>&#x6211;&#x4EEC;&#x4E0D;&#x518D;&#x9700;&#x8981;&#x4E66;&#x5199;&#x7E41;&#x7410;&#x7684;&#x914D;&#x7F6E;&#x3002;&#x8BA9;&#x6211;&#x4EEC;&#x518D;&#x56DE;&#x987E;&#x4E0B;&#x4E0A;&#x9762;&#x7684;&#x8BED;&#x6CD5;&#xFF1A;</p>
<ol>
<li>load/connect &#x90FD;&#x9700;&#x8981;&#x9700;&#x8981;&#x6700;&#x540E;&#x63A5;as&#xFF0C; as &#x8868;&#x793A;&#x4E3A;&#x6CE8;&#x518C;&#xFF0C;&#x524D;&#x9762;&#x662F;&#x6CE8;&#x518C;&#x7684;&#x5185;&#x5BB9;&#xFF0C;as&#x540E;&#x9762;&#x662F;&#x6CE8;&#x518C;&#x540E;&#x7684;&#x540D;&#x5B57;&#x3002;load as &#x662F;&#x6CE8;&#x518C;&#x89C6;&#x56FE;&#xFF08;&#x8868;&#xFF09;&#xFF0C;connect as &#x662F;&#x6CE8;&#x518C;&#x8FDE;&#x63A5;&#x3002;</li>
<li>&#x6CE8;&#x518C;&#x7684;&#x4E1C;&#x897F;&#x5728;&#x540E;&#x9762;&#x7684;&#x8BED;&#x53E5;&#x4E2D;&#x90FD;&#x53EF;&#x4EE5;&#x76F4;&#x63A5;&#x4F7F;&#x7528;&#xFF0C;&#x8FD9;&#x4E5F;&#x662F;MLSQL&#x80FD;&#x6210;&#x4E3A;&#x811A;&#x672C;&#x7684;&#x6839;&#x57FA;&#x4E4B;&#x4E00;&#x3002;</li>
</ol>
<p>&#x901A;&#x7528;&#x53C2;&#x6570;withoutColumns&#x3001;withColumns&#xFF0C;&#x53EF;&#x4EE5;&#x901A;&#x8FC7;withoutColumns&#x79FB;&#x9664;&#x6389;&#x4E0D;&#x9700;&#x8981;&#x7684;&#x5217;&#xFF0C;withColumns&#x6307;&#x5B9A;&#x9700;&#x8981;&#x7684;&#x5217;&#xFF0C;&#x4E24;&#x8005;&#x53EA;&#x80FD;&#x9009;&#x4E00;&#x4E2A;</p>
<pre><code class="lang-sql"><span class="hljs-keyword">set</span> abc=<span class="hljs-string">&apos;&apos;&apos;
{ &quot;x&quot;: 100, &quot;y&quot;: 200, &quot;z&quot;: 200 ,&quot;dataType&quot;:&quot;A group&quot;}
{ &quot;x&quot;: 120, &quot;y&quot;: 100, &quot;z&quot;: 260 ,&quot;dataType&quot;:&quot;B group&quot;}
&apos;&apos;&apos;</span>;
<span class="hljs-keyword">load</span> jsonStr.<span class="hljs-string">`abc`</span> options withoutColumns=<span class="hljs-string">&quot;x,y&quot;</span> <span class="hljs-keyword">as</span> table1;
</code></pre>
<p>Load&#x4E5F;&#x652F;&#x6301; conditionExpr&#xFF0C;&#x4F60;&#x53EF;&#x4EE5;&#x52A0;&#x8F7D;&#x6570;&#x636E;&#x7684;&#x65F6;&#x5019;&#x6307;&#x5B9A;&#x6761;&#x4EF6;&#xFF1A;</p>
<pre><code class="lang-sql"><span class="hljs-keyword">load</span> hive.<span class="hljs-string">`test.test`</span> options conditionExpr=<span class="hljs-string">&quot;dt=20190522&quot;</span> <span class="hljs-keyword">as</span> t;
</code></pre>
<h2 id="&#x5982;&#x4F55;&#x9AD8;&#x6548;&#x7684;&#x4E66;&#x5199;load&#x8BED;&#x53E5;"><a name="&#x5982;&#x4F55;&#x9AD8;&#x6548;&#x7684;&#x4E66;&#x5199;load&#x8BED;&#x53E5;" class="anchor-navigation-ex-anchor" href="#&#x5982;&#x4F55;&#x9AD8;&#x6548;&#x7684;&#x4E66;&#x5199;load&#x8BED;&#x53E5;"><i class="fa fa-link" aria-hidden="true"></i></a>&#x5982;&#x4F55;&#x9AD8;&#x6548;&#x7684;&#x4E66;&#x5199;Load&#x8BED;&#x53E5;</h2>
<p>&#x4ECE;&#x4E0A;&#x9762;&#x7684;&#x4F8B;&#x5B50;&#xFF0C;&#x6211;&#x4EEC;&#x53EF;&#x4EE5;&#x770B;&#x51FA;&#xFF0C;&#x4F7F;&#x7528;load&#x8BED;&#x53E5;&#xFF0C;&#x524D;&#x63D0;&#x662F;&#x6211;&#x4EEC;&#x77E5;&#x9053;&#x6709;&#x54EA;&#x4E9B;&#x6570;&#x636E;&#x6E90;&#x6216;&#x8005;&#x683C;&#x5F0F;&#x53EF;&#x7528;&#x3002;&#x8FD8;&#x6709;&#x4E00;&#x4E2A;&#x96BE;&#x9898;&#xFF0C;&#x5C31;&#x662F;&#x8FD9;&#x4E9B;&#x6570;&#x636E;&#x6E90;&#x6216;&#x8005;&#x683C;&#x5F0F;&#x90FD;&#x6709;&#x4EC0;&#x4E48;&#x53EF;&#x9009;&#x7684;&#x914D;&#x7F6E;&#xFF0C;&#x4E5F;&#x5C31;&#x662F;&#x6211;&#x4EEC;
&#x524D;&#x9762;&#x770B;&#x5230;&#x7684;where&#x6761;&#x4EF6;&#x8BED;&#x53E5;&#x3002; MLSQL Console&#x63D0;&#x4F9B;&#x4E86;&#x56FE;&#x5F62;&#x5316;&#x7684;&#x754C;&#x9762;&#x4F9B;&#x6211;&#x4EEC;&#x9009;&#x62E9;&#x548C;&#x586B;&#x5199;&#x53C2;&#x6570;&#xFF1A;</p>
<p></p><div class="image-wrapper lang-load"><a href="http://docs.mlsql.tech/upload_images/WX20190819-152205@2x.png" data-lightbox="14f1f5f5-1fd8-474a-a03c-55d71fab7331" data-title="" target="_blank"><img src="http://docs.mlsql.tech/upload_images/WX20190819-152205@2x.png" alt=""></a></div><p></p>
<p>&#x586B;&#x5199;&#x5B8C;&#x6210;&#x540E;&#xFF0C;MLSQL&#x4F1A;&#x81EA;&#x52A8;&#x5E2E;&#x6211;&#x4EEC;&#x751F;&#x6210;&#x8BED;&#x53E5;&#x3002;</p>
<p>&#x53EF;&#x80FD;&#x6709;&#x7684;&#x7528;&#x6237;&#x5E76;&#x4E0D;&#x4F1A;&#x4F7F;&#x7528;Console,&#x90A3;&#x4E48;&#x9664;&#x4E86;&#x6587;&#x6863;&#x4EE5;&#x5916;&#xFF0C;&#x6211;&#x4EEC;&#x8FD8;&#x6709;&#x529E;&#x6CD5;&#x53BB;&#x63A2;&#x7D22;&#x6709;&#x54EA;&#x4E9B;&#x53EF;&#x7528;&#x7684;&#x6570;&#x636E;&#x6E90;&#x4EE5;&#x53CA;&#x54CD;&#x5E94;&#x7684;&#x914D;&#x7F6E;&#x4E48;&#xFF1F; MLSQL &#x8FD8;&#x63D0;&#x4F9B;&#x4E86;&#x4E00;&#x4E9B;&#x5E2E;&#x52A9;&#x6307;&#x4EE4;&#x3002;</p>
<pre><code class="lang-sql">!<span class="hljs-keyword">show</span> datasources;
</code></pre>
<p>&#x901A;&#x8FC7;&#x8BE5;&#x547D;&#x4EE4;&#xFF0C;&#x4F60;&#x53EF;&#x4EE5;&#x770B;&#x5230;&#x5927;&#x90E8;&#x5206;&#x53EF;&#x7528;&#x6570;&#x636E;&#x6E90;&#x3002; &#x63A5;&#x7740;&#xFF0C;&#x4F60;&#x627E;&#x5230;&#x4F60;&#x9700;&#x8981;&#x7684;&#x6570;&#x636E;&#x6E90;&#x540D;&#x79F0;&#xFF0C;&#x7136;&#x540E;&#x901A;&#x8FC7;&#x4E0B;&#x9762;&#x7684;&#x547D;&#x4EE4;&#xFF0C;&#x83B7;&#x5F97;&#x8FD9;&#x4E2A;&#x6570;&#x636E;&#x6E90;&#x7684;&#x53C2;&#x6570;&#x4EE5;&#x53CA;&#x6587;&#x6863;(&#x8FD9;&#x91CC;&#x6211;&#x4EEC;&#x4EE5;CSV&#x4E3A;&#x4F8B;)&#xFF1A;</p>
<pre><code class="lang-sql">!<span class="hljs-keyword">show</span> <span class="hljs-string">&quot;datasources/params/csv&quot;</span>;
</code></pre>
<p>&#x5927;&#x5BB6;&#x53EF;&#x4EE5;&#x770B;&#x5230;CSV&#x53EF;&#x7528;&#x53C2;&#x6570;&#x6BD4;&#x8F83;&#x8BE6;&#x7EC6;&#x7684;&#x89E3;&#x91CA;&#xFF1A;</p>
<p></p><div class="image-wrapper lang-load"><a href="http://docs.mlsql.tech/upload_images/WX20190819-152658@2x.png" data-lightbox="a5238f52-cda0-4e9e-9bf8-e1f0057b13f6" data-title="" target="_blank"><img src="http://docs.mlsql.tech/upload_images/WX20190819-152658@2x.png" alt=""></a></div><p></p>
<p>&#x6211;&#x4EEC;&#x5728;&#x540E;&#x7EED;&#x7AE0;&#x8282;&#x4E2D;&#xFF0C;&#x4F1A;&#x5BF9;&#x5E38;&#x89C1;&#x7684;&#x6570;&#x636E;&#x6E90;&#x6709;&#x66F4;&#x8BE6;&#x7EC6;&#x7684;&#x4ECB;&#x7ECD;&#x3002;</p>
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